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Out-of-Hospital Cardiac Arrest

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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international 34589553
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Aged Algorithms Area Under Curve Brain Female Humans Machine Learning Male Models, Cardiovascular Out-of-Hospital Cardiac Arrest Predictive Value of Tests ROC Curve Sensitivity and Specificity Survival Analysis
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Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.

Journal of Korean medical science 34282605
BACKGROUND: We performed this study to establish a prediction model for 1-year neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients who achieved return of spontaneous circulation (ROSC) immediately after ROSC using machine learning...
Aged Cardiopulmonary Resuscitation Emergency Medical Services Female Heart Arrest Humans Machine Learning Male Middle Aged Out-of-Hospital Cardiac Arrest Registries Retrospective Studies Return of Spontaneous Circulation Survival Rate Survivors Treatment Outcome
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Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.

Anaesthesia, critical care & pain medicine 34968747
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significan...
Adult Hospitalization Humans Machine Learning Out-of-Hospital Cardiac Arrest Prognosis Time Factors
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The Use of Artificial Intelligence to Predict the On-Scene Return of Spontaneous Circulation in the Out-of-Hospital Setting: A Time to Do More for Cardiac Arrest?

Annals of emergency medicine 34863527
Artificial Intelligence Hospitals Humans Out-of-Hospital Cardiac Arrest Return of Spontaneous Circulation
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Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy.

Sensors (Basel, Switzerland) 37177703
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision during cardiopulmonary resuscitation (CPR) and its performance evaluation as a function of the cumulative hands-off time. We retrospectively used 13,570 ...
Algorithms Arrhythmias, Cardiac Cardiopulmonary Resuscitation Deep Learning Electrocardiography Humans Out-of-Hospital Cardiac Arrest Retrospective Studies Ventricular Fibrillation
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Machine Learning Identifies Higher Survival Profile In Extracorporeal Cardiopulmonary Resuscitation.

Critical care medicine 38535090
OBJECTIVES: Extracorporeal cardiopulmonary resuscitation (ECPR) has been shown to improve neurologically favorable survival in patients with refractory out-of-hospital cardiac arrest (OHCA) caused by shockable rhythms. Further refinement of patient s...
Adolescent Adult Aged Cardiopulmonary Resuscitation Extracorporeal Membrane Oxygenation Female Humans Machine Learning Male Middle Aged Out-of-Hospital Cardiac Arrest Retrospective Studies Young Adult
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Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning.

Computers, informatics, nursing : CIN 39248449
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arr...
Aged Emergency Service, Hospital Female Humans Machine Learning Male Middle Aged Out-of-Hospital Cardiac Arrest Registries Republic of Korea Survival Analysis
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Analysis of Cerebral CT Based on Supervised Machine Learning as a Predictor of Outcome After Out-of-Hospital Cardiac Arrest.

Neurology 38857458
BACKGROUND AND OBJECTIVES: In light of limited intensive care capacities and a lack of accurate prognostic tools to advise caregivers and family members responsibly, this study aims to determine whether automated cerebral CT (CCT) analysis allows pro...
Aged Brain Cohort Studies Female Gray Matter Humans Male Middle Aged Out-of-Hospital Cardiac Arrest Prognosis Retrospective Studies Supervised Machine Learning Tomography, X-Ray Computed
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Artificial-intelligence-based neurological outcome prediction during out-of-hospital cardiac arrest.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias 38818992
Artificial Intelligence Cardiopulmonary Resuscitation Humans Out-of-Hospital Cardiac Arrest
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Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning.

Resuscitation 39142467
UNLABELLED: Out-of-hospital cardiac arrest (OHCA) is a critical condition with low survival rates. In patients with a return of spontaneous circulation, brain injury is a leading cause of death. In this study, we propose an interpretable machine lear...
Aged Cardiopulmonary Resuscitation Female Humans Machine Learning Male Middle Aged Out-of-Hospital Cardiac Arrest Registries ROC Curve Sweden
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